Vasant Dhar

Artificial Intelligence · 2011–2014

A researcher in the Science corpus: 3 papers; trusts 14 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Vasant Dhar trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Hirotugu Akaike
  2. Tom L. Burr
  3. Sanjeev Arora
  4. Boaz Barak
  5. Klaus Nordhausen
  6. Foster J. Provost
  7. Sinan Aral
  8. Trevor J. Hastie
  9. David M. J. Lazer
  10. Vladimir Naumovich Vapni

Who trusts Vasant Dhar overall

  1. Yutong Shao
  2. Ndapandula Nakashole
  3. Ritu Agarwal
  4. Tomer Geva
  5. Yangyong Zhu
  6. Gerard George
  7. Longbing Cao
  8. Andrey Kan
  9. Alberto Fernández
  10. Rameshwar Dubey

Papers from Vasant Dhar's perspective

Ordered by how strongly the researchers Vasant Dhar trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. Gradient-based learning applied to document recognition
  5. Attention is All you Need (Neural Information Processing Systems)
  6. Learning Multiple Layers of Features from Tiny Images
  7. Random Forests
  8. ImageNet: A large-scale hierarchical image database
  9. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers